Results 191 to 200 of about 7,954 (256)
Some of the next articles are maybe not open access.

PRKG: Pre-Training Representation and Knowledge-Graph-Enhanced Web Service Recommendation for Mashup Creation

IEEE Transactions on Network and Service Management
The number of online services is rapidly increasing due to the increased adoption of services-oriented technology. In this context, recommendation systems can provide high-quality Web services that meet Mashup developers’ expectations.
Buqing Cao   +6 more
semanticscholar   +1 more source

Cross-View Graph Alignment for Mashup Recommendation

IEEE Transactions on Services Computing
As the adoption of Service-Oriented Computing continues to grow, the number of web services has increased significantly, which makes service recommendation become an essential tool to assist users in selecting suitable services. However, a single service
Chunyu Wei   +3 more
semanticscholar   +1 more source

Functional and Contextual Attention-Based LSTM for Service Recommendation in Mashup Creation

IEEE Transactions on Parallel and Distributed Systems, 2019
Service recommendation is a fundamental task in many application environments (e.g., Mashup creation and cloud computing). In the past, various methods have been proposed to facilitate the service selection process based on the original functional ...
Min Shi, Yufei Tang, Jianxun Liu
semanticscholar   +1 more source

Mashups

2014
Mashups have emerged as an innovative software trend that re-interprets existing Web building blocks and leverages the composition of individual components in novel, value-adding ways. Additional appeal also derives from their potential to turn non-programmers into developers.
Florian Daniel, Maristella Matera
openaire   +3 more sources

Structure Reinforcing and Attribute Weakening Network based API Recommendation Approach for Mashup Creation

2020 IEEE International Conference on Web Services (ICWS), 2020
With the explosive growth of Web APIs on the Internet, it is a challenge to recommend desirable Web APIs from multiple ecosystems to develop a Mashup.
Yong Xiao   +6 more
semanticscholar   +1 more source

Deep mashup

Proceedings of the 19th international conference on World wide web, 2010
In this paper, we present a description-based mashup framework for lightweight integration of Web contents. Our implementation shows that we can integrate not only the Web services but also the Web applications easily, even the Web contents dynamically generated by client-side scripts.
Hao Han, Junxia Guo, Takehiro Tokuda
openaire   +1 more source

Mashup

2010
The origin of the mashup is a matter of debate. According to one theory, the phenomenon began in 2001 with the XFM radio broadcast of the song “Stroke of Genius,” a bootleg remix by the deejay Freelance Hellraiser that incongruously set the pop vocals of Christina Aguilera’s “Genie in a Bottle” against garage rock instrumentals from the Strokes’ “Hard ...
openaire   +2 more sources

Integrated Topic Modeling and User Interaction Enhanced WebAPI Recommendation using Regularized Matrix Factorization for Mashup Application Development

IEEE International Conference on Services Computing, 2020
Mashup application developers combine relevant web APIs from existing sources. Still, developers often face challenges in finding appropriate web APIs as they have to go through thousands of available ones.
Md Mahfuzer Rahman, X. Liu
semanticscholar   +1 more source

Mashup Feeds

Proceedings of the 2007 ACM SIGMOD international conference on Management of data, 2007
Mashup Feeds is a system that supports integrated web service feeds as continuous queries. We introduce collection-based stream processing semantics to enable information extraction by monitoring source evolution over time.
Junichi Tatemura   +6 more
openaire   +1 more source

Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations

IEEE Transactions on Services Computing, 2018
Mashups are a dominant approach for building data-centric applications, especially mobile applications, in recent years. Since mashups are predominantly based on public data sources and existing APIs, it requires no sophisticated programming knowledge of
Lina Yao   +4 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy